Austria¶

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In [1]:
import datetime
import time

start = datetime.datetime.now()
print(f"Notebook executed on: {start.strftime('%d/%m/%Y %H:%M:%S%Z')} {time.tzname[time.daylight]}")
Notebook executed on: 04/07/2022 09:41:37 CEST
In [2]:
%config InlineBackend.figure_formats = ['svg']
from oscovida import *
In [3]:
overview("Austria", weeks=5);
2022-07-04T09:41:40.822227 image/svg+xml Matplotlib v3.5.2, https://matplotlib.org/ 30 May 06 Jun 13 Jun 20 Jun 27 Jun 04 Jul 200 200 400 400 600 600 800 800 7-day incidence rate (per 100K people) Austria, last 5 weeks, last data point from 2022-07-03 30 May 06 Jun 13 Jun 20 Jun 27 Jun 04 Jul 0 100 200 daily change normalised per 100K 30 May 06 Jun 13 Jun 20 Jun 27 Jun 04 Jul 0.0 0.1 0.2 daily change normalised per 100K 30 May 06 Jun 13 Jun 20 Jun 27 Jun 04 Jul 0.8 0.8 1.0 1.0 1.2 1.2 1.4 1.4 R & growth factor (based on cases) Austria cases daily growth factor Austria cases daily growth factor (rolling mean) Austria estimated R (using cases) 30 May 06 Jun 13 Jun 20 Jun 27 Jun 04 Jul 0.8 0.8 1.0 1.0 1.2 1.2 1.4 1.4 R & growth factor (based on deaths) Austria deaths daily growth factor Austria deaths daily growth factor (rolling mean) Austria estimated R (using deaths) 30 May 06 Jun 13 Jun 20 Jun 27 Jun 04 Jul 0 500 1000 1500 cases doubling time [days] Austria doubling time cases (rolling mean) Austria doubling time deaths (rolling mean) 0 9006 18013 daily change Austria new cases (rolling 7d mean) Austria new cases 0.00 9.01 18.01 daily change Austria new deaths (rolling 7d mean) Austria new deaths 0 1757 3514 5271 deaths doubling time [days]
In [4]:
overview("Austria");
2022-07-04T09:41:45.902351 image/svg+xml Matplotlib v3.5.2, https://matplotlib.org/ Jan 20 Apr 20 Jul 20 Oct 20 Jan 21 Apr 21 Jul 21 Oct 21 Jan 22 Apr 22 Jul 22 0 0 1000 1000 2000 2000 3000 3000 7-day incidence rate (per 100K people) 783.7 Austria, last data point from 2022-07-03 Jan 20 Apr 20 Jul 20 Oct 20 Jan 21 Apr 21 Jul 21 Oct 21 Jan 22 Apr 22 Jul 22 0 200 400 600 daily change normalised per 100K Jan 20 Apr 20 Jul 20 Oct 20 Jan 21 Apr 21 Jul 21 Oct 21 Jan 22 Apr 22 Jul 22 0.0 0.5 1.0 1.5 daily change normalised per 100K Jan 20 Apr 20 Jul 20 Oct 20 Jan 21 Apr 21 Jul 21 Oct 21 Jan 22 Apr 22 Jul 22 0.8 0.8 1.0 1.0 1.2 1.2 1.4 1.4 R & growth factor (based on cases) Austria cases daily growth factor Austria cases daily growth factor (rolling mean) Austria estimated R (using cases) Jan 20 Apr 20 Jul 20 Oct 20 Jan 21 Apr 21 Jul 21 Oct 21 Jan 22 Apr 22 Jul 22 0.8 0.8 1.0 1.0 1.2 1.2 1.4 1.4 R & growth factor (based on deaths)